Pass SEDF as feature class into arcpy geoprocessing tools

Question

Is there a way to pass a spatially enabled dataframe (SEDF) as a feature class (in or out) into arcpy geoprocessing tools?  This would eliminate the need to unnecccearily write to feature classes to to disk.

For example:

in_features = sdf_in
out_feature_class = sdf_out

arcpy.analysis.Buffer(in_features, out_feature_class, buffer_distance_or_field, {line_side}, {line_end_type}, {dissolve_option}, {dissolve_field}, {method})

-- OR --
target_features = sdf_1
join_features = sdf_2
out_feature_class = sdf_out

arcpy.analysis.SpatialJoin(target_features, join_features, out_feature_class, {join_operation}, {join_type}, {field_mapping}, {match_option}, {search_radius}, {distance_field_name})

GeoSeriesAccessor as_arcpy holds some promise, but only accepts a series, so I'm struggling to see how to carry this out.

Thank you,

Tyler

danretired · Answer

examining the code in

C:\_Your_Install_folder_\bin\Python\envs\arcgispro-py3\Lib\site-packages\arcgis

will give you a good idea how everything is pieced together and what is available and what is not

TylerT · Answer

I'm not necessarily stuck.  I can get a lot done with a SEDF, just trying to see where the left and right bounds are.

danretired · Answer

from your multiple posts, it appears that you are trying to emulate Pro functionality without using Pro tools.  Arcpy is limited when used in the python api.  the geoprocessing functionality uses either arcpy or shapely and since arcpy's exposure is limited and shapely isn't a replacement for arcpy's capabilities, you are sort of stuck